Data Engineer (Microsoft Fabric)

Location: Alpharetta, Georgia, United States. Must be authorized to work in the United States without current sponsorship.

Company

hirify.global provides mission-critical, industry-specific software, including ERP, supply chain management, and compliance solutions for organizations across more than 20 industries.

What you will do

• Build and maintain data ingestion pipelines using Microsoft Fabric, Dataflows Gen2, Notebooks, and Azure Data Factory.
• Develop Python and PySpark notebooks to cleanse, transform, and enrich data across bronze, silver, and gold layers.
• Implement Delta Lake patterns, including partitioning, schema evolution, and incremental loads.
• Develop reusable, metadata-driven, and parameterized pipeline frameworks with data quality checks and SCD logic.
• Troubleshoot pipeline failures, performance issues, and data discrepancies; perform root-cause analysis.
• Support Power BI datasets and semantic models, CI/CD workflows, monitoring, documentation, and on-call operations.

Requirements

• 3–5 years of experience building production or near-production data pipelines.
• Hands-on experience with Python and PySpark.
• Experience with Azure Data Factory or similar orchestration tools.
• Experience with Microsoft Fabric, or strong Azure Synapse or Databricks experience with willingness to learn Fabric.
• Solid knowledge of SQL, data modeling, performance optimization, medallion architecture, and Delta Lake.
• Familiarity with Git, branching, CI/CD, data quality, SCD handling, and effective collaboration with technical and business stakeholders.

Nice to have

• Exposure to Power BI and semantic data models.
• Understanding of data governance, schema versioning, and access controls.

Culture & Benefits

• Opportunity to work with Microsoft Fabric, Azure, enterprise data, analytics, and AI initiatives.
• Collaborative environment with experienced data engineering professionals.
• Hands-on learning, ownership of impactful projects, and growth opportunities.
• Support for diversity, equity, and inclusion across the organization.